Text-to-Image
Diffusers
English
lora
stable-diffusion-xl
style
anime
shounen
action
dynamic
speed-lines
battle
vibrant
cinematic
bold poses
intense expressions
sharp cel shading
motion blur
impact effects
anime style
Instructions to use strkyyy/anime-shounen-action with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use strkyyy/anime-shounen-action with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("strkyyy/anime-shounen-action") prompt = "sh0un3n, a hero leaping over a burning city" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("strkyyy/anime-shounen-action")
prompt = "sh0un3n, a hero leaping over a burning city"
image = pipe(prompt).images[0]Vibrant Shounen Action Anime Style with SDXL LoRA
What it does
This LoRA model captures the essence of modern shounen action anime, featuring dynamic poses, dramatic speed lines, intense facial expressions, vivid colors, sharp cel shading, motion blur, and impact effects.
How to use
Use the trigger word 'sh0un3n' in your prompts. A suggested strength setting between 0.6 and 1.0 is optimal for this LoRA. Recommended sampler settings vary but a higher step count (around 50) can enhance detail and sharpness.
Best for
- Creating dramatic action scenes with intense hero poses
- Adding motion blur and speed lines to in-motion characters
- Rendering vivid, saturated colors typical of anime aesthetics
- Emphasizing sharp cel shading and impact effects around the edges
- Depicting high-energy compositions that capture movement
Tips
- Experiment with different prompt strengths for varied results.
- Combine with other LoRA models for unique stylistic blends.
Example Prompts
sh0un3n ninja in mid-jump, moonlit night, dramatic shadows, sharp cel shading
sh0un3n cityscape at dawn, neon lights flickering, dynamic diagonal composition, motion blur
sh0un3n sword floating in the air, mystical aura swirling around it, soft light and dark contrast
sh0un3n hero breaking through stone walls, intense expression, bold lines and colors, impact effect
sh0un3n stormy sky with lightning, isolated portrait of a protagonist, deep blue tones, dramatic lighting
sh0un3n abstract background with speed lines, vibrant color palette, energetic composition
Trigger word
Activate with sh0un3n. Recommended strength: 0.9.
Showcase
Usage with diffusers
from diffusers import AutoPipelineForText2Image
import torch
pipe = AutoPipelineForText2Image.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.float16).to("cuda")
pipe.load_lora_weights("strkyyy/anime-shounen-action")
image = pipe("sh0un3n, your prompt", num_inference_steps=30).images[0]
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Model tree for strkyyy/anime-shounen-action
Base model
stabilityai/stable-diffusion-xl-base-1.0






